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In computing, Pic is a domain-specific programming language by Brian Kernighan for specifying line diagrams. The language contains predefined basic linear objects: line, move, arrow, and spline, the planar objects box, circle, ellipse, arc, and definable composite elements. Objects are placed with respect to other objects or absolute coordinates. A…
History, Implementations & Alternatives
Explore the main themes, entities and connections around PIC (markup language). Start with the topic map, then use the sections below for research and deeper semantic analysis.
Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the full topic structure. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
See the strongest relationship patterns around the current topic before diving into the raw triples.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
pic language objects dpic preprocessor gnu programming brian kernighan troff output formats graphics also original 1988 pikchr commands macros line
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| PIC (markup language) | Developer | Various | 1.00 | infobox |
| PIC (markup language) | Operating system | Unix, Unix-like, Plan 9 | 1.00 | infobox |
| PIC (markup language) | Original authors | Brian Kernighan (AT&T Bell Laboratories) | 1.00 | infobox |
| PIC (markup language) | Platform | Cross-platform | 1.00 | infobox |
| PIC (markup language) | Release | 1988; 38 years ago (1988) | 1.00 | infobox |
| PIC (markup language) | Type | Command, Graphics | 1.00 | infobox |
| PIC (markup language) | Written in | C (programming language), Yacc | 1.00 | infobox |
These clusters group vocabulary that occurs around closely connected concepts in the source material.
Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.